Media Server 25.1
Media Server Help

# Transcribe Speech

To run speech-to-text

1. Create a new configuration to send to Media Server with the `process` action, or open an existing configuration that you want to modify.

2. In the `[Session]` section, add a new analysis task by setting the `EngineN` parameter. You can give the task any name, for example:

       [Session]
       Engine0=Ingest
       Engine1=TranscribeSpeech

3. Create a new section to contain the settings for the task and set the following parameters:

   `Type` | The analysis engine to use. Set this parameter to `SpeechToText`.
   `Input` | (Optional) The audio track to analyze. If you do not specify an input track, Media Server processes the first track of the correct type produced by the ingest engine.
   LanguagePack | The language pack to use. For a list of available language packs, see Speech Analysis Supported Languages. If your session configuration includes Language ID, you can instruct Media Server to use the detected language: set `Input` to the `ResultWithSource` track from your Language ID task. set `LanguagePack=input`. NOTE: `LanguagePack=Input` is not available when `ModelVersion=Legacy`.
   ModelVersion | The model to use to convert speech into text.
   SpeedBias | To process a live stream, set this parameter to `Live`. Otherwise, set this parameter to `6`.

   For example:

       [TranscribeSpeech]
       Type=SpeechToText
       LanguagePack=ENUK
       ModelVersion=small
       SpeedBias=6

   For more information about the parameters that you can use to configure speech-to-text, see Speech-To-Text.

4. Save and close the configuration file. OpenText recommends that you save your configuration files in the location specified by the `ConfigDirectory` parameter.

Copyright 2024 Open Text
Version 25.1 | Last updated January 2025

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: Knowledge Discovery Media Server 25.1

Topic Title: Transcribe Speech